Congestion Management: Using Deep transfer learning for Traffic Classification, Layer4 forwarding, OpenFlow meter

Network traffic classification methods are used for congestion management, QoS delivery, billing in ISPs, and security purposes in firewalls. In the past, port-based, data packet inspection, and traditional machine learning techniques have all been widely utilized. However, their accuracy has decreased as a result of the Internet traffic's tremendous changes. The training data and test data are assumed to have independent, identical distributions by deep learning models used for network traffic classification. Due to changes in traffic features, this assumption could be incorrect in actual traffic classification. The classification of new network traffic will fail to use the models that were trained on the existing data. In this research, a deep transfer learning model without the aforementioned assumption is provided.…